Department of Economics, University of North Carolina at Greensboro, Greensboro, North Carolina, United States of America.
Department of Epidemiology and Biostatistics, School of Public Health, Indiana University-Bloomington, Bloomington, Indiana, United States of America.
PLoS One. 2022 Aug 29;17(8):e0272820. doi: 10.1371/journal.pone.0272820. eCollection 2022.
School and college reopening-closure policies are considered one of the most promising non-pharmaceutical interventions for mitigating infectious diseases. Nonetheless, the effectiveness of these policies is still debated, largely due to the lack of empirical evidence on behavior during implementation. We examined U.S. college reopenings' association with changes in human mobility within campuses and in COVID-19 incidence in the counties of the campuses over a twenty-week period around college reopenings in the Fall of 2020. We used an integrative framework, with a difference-in-differences design comparing areas with a college campus, before and after reopening, to areas without a campus and a Bayesian approach to estimate the daily reproductive number (Rt). We found that college reopenings were associated with increased campus mobility, and increased COVID-19 incidence by 4.9 cases per 100,000 (95% confidence interval [CI]: 2.9-6.9), or a 37% increase relative to the pre-period mean. This reflected our estimate of increased transmission locally after reopening. A greater increase in county COVID-19 incidence resulted from campuses that drew students from counties with high COVID-19 incidence in the weeks before reopening (χ2(2) = 8.9, p = 0.012) and those with a greater share of college students, relative to population (χ2(2) = 98.83, p < 0.001). Even by Fall of 2022, large shares of populations remained unvaccinated, increasing the relevance of understanding non-pharmaceutical decisions over an extended period of a pandemic. Our study sheds light on movement and social mixing patterns during the closure-reopening of colleges during a public health threat, and offers strategic instruments for benefit-cost analyses of school reopening/closure policies.
学校和学院的重新开放和关闭政策被认为是减轻传染病的最有前途的非药物干预措施之一。尽管如此,这些政策的有效性仍存在争议,主要是因为缺乏实施过程中行为的经验证据。我们考察了 2020 年秋季美国学院重新开放与校园内人类流动性变化以及校园所在县 COVID-19 发病率之间的关系。在重新开放前后,我们使用差异中的差异设计,将有校园的地区与没有校园的地区进行比较,并采用贝叶斯方法来估计每日繁殖数(Rt)。我们发现,学院重新开放与校园内流动性增加以及 COVID-19 发病率增加 4.9 例/10 万人(95%置信区间:2.9-6.9)有关,或比前一时期的平均值增加 37%。这反映了我们估计的重新开放后局部传播增加。县 COVID-19 发病率的增加主要归因于那些在重新开放前几周从 COVID-19 发病率高的县招收学生的校园(χ2(2) = 8.9,p = 0.012),以及那些大学生比例相对于人口比例更高的校园(χ2(2) = 98.83,p < 0.001)。即使到 2022 年秋季,仍有很大一部分人群未接种疫苗,这增加了在大流行期间延长时间内了解非药物决策的相关性。我们的研究揭示了在公共卫生威胁期间学院关闭和重新开放期间的流动和社交混合模式,并为学校重新开放/关闭政策的效益成本分析提供了战略工具。